scholarly journals Simulation of transient heat transfer and phase transformation in Laser Beam Welding for low alloy steel and studying its influences on the welding residual stresses

Author(s):  
K.R. Krishna Murthy ◽  
F. Akyel ◽  
U. Reisgen ◽  
S. Olschok
Author(s):  
Muhammad Zain-ul-abdein ◽  
Daniel Ne´lias ◽  
Jean-Franc¸ois Jullien ◽  
Dominique Deloison

Laser beam welding has found its application in the aircraft industry for the fabrication of fuselage panels in a T-joint configuration. However, the inconveniences like distortions and residual stresses are inevitable consequences of welding. The effort is made in this work to experimentally measure and numerically simulate the distortions induced by laser beam welding of a T-joint with industrially used thermal and mechanical boundary conditions on the thin sheets of aluminium 6056-T4. Several small scale experiments were carried out with various instrumentations to establish a database necessary to verify the simulation results. Finite element (FE) simulation is performed with Abaqus and the conical heat source is programmed in FORTRAN. Heat transfer analysis is performed to achieve the required weld pool geometry and temperature fields. Mechanical analysis is then performed with industrial loading and boundary conditions so as to predict the distortion and the residual stress pattern. A good agreement is found amongst the experimental and simulation results.


2009 ◽  
Vol 209 (6) ◽  
pp. 2907-2917 ◽  
Author(s):  
Muhammad Zain-ul-Abdein ◽  
Daniel Nelias ◽  
Jean-François Jullien ◽  
Dominique Deloison

2010 ◽  
Vol 13 (1) ◽  
pp. 113-117 ◽  
Author(s):  
Kenneth Kanayoa Alaneme ◽  
Celestine Mondeb Kamma

2014 ◽  
Vol 1061-1062 ◽  
pp. 522-525
Author(s):  
Yu Jie Sun ◽  
Qing Chun Cui ◽  
Chun Ming Shi ◽  
Suo Huai Zhang

This paper presents a sequential coupled thermo-metallurgical-mechanical finite element model for low alloy steel quenching which can be used to predict temperature history, evolution of microstructure, internal stress and distortion. The main efforts are to develop a series of subroutines which consider the latent heat released due to phase transformation and numerical implementation of a thermo-metallurgical-mechanical constitute equation. The effectiveness of developed computational method is confirmed by a immersion quenching. Simulations of immersion quenching demonstrate that transformation induce plasticity has significant effect of the evolution of residual stress, distortion and can not be neglected for low alloy steel during immersion quenching.


2021 ◽  
Vol 47 (2) ◽  
pp. 790-799
Author(s):  
Richard J Katemi ◽  
Jeremy Epp

This paper reports an investigation of the influence of carbonitriding conditions for 20MnCr5 low alloy steel. Three gaseous carbonitriding conditions were investigated based on different carbon and nitrogen potentials to attain varying levels of carbon between 0.62 and 0.93% mass, whereas for nitrogen between 0.19 and 0.26% mass at the surface. Analysis of retained austenite and residual stress distributions was conducted using X-ray diffraction technique. The effective case depth varied between 900 and 1200 µm. The case microstructures were characterized by varying proportions of retained austenite and martensite, while the core contained essentially bainitic microstructures. The maximum amount of retained austenite which occurred at a depth of 50 µm from the subsurface ranged between 30 and 70% mass and significantly influenced the level of surface micro-hardness whereas the core hardness remaining relatively constant at 450 HV1. High values of residual stresses in martensite phase were observed. The signs, magnitudes, distributions and location of maximum compressive residual stresses were highly influenced by the maximum fraction of retained austenite. Retained austenite of 30%, 50% and 70% mass at the surface lead to peak compressive residue stresses of -280, -227, and -202 MPa at depths of 555, 704, and 890 μm, respectively. Keywords: Carbonitriding, retained austenite, martensite, residual stress, XRD.


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